code: def after_loss(self):
      if not self.training:
          self.model.eval()
          self.learn.pred = self.model(*self.xb)
          self.model.train()
  
          batch = (*self.xb, *self.yb)
          preds = self.convert_raw_predictions(
              batch=batch, raw_preds=self.pred
          )
          self.learn.converted_preds = preds
  
file_path: icevision/icevision/models/torchvision/fastai_callbacks.py
imports: from icevision.imports import *
  from icevision.engines.fastai import *
label_desc: Use image node_id 5 for calling the RCNNCallback obj's underlying member method code with example usage: obj.after_loss() without return types